The MiMo Embodied Model (MiMo-Embodied) is a powerful cross-embodied vision-language model that has demonstrated excellent performance in both autonomous driving and embodied AI tasks. It is the first open-source vision-language model that combines these two key domains, significantly enhancing the understanding and reasoning abilities in dynamic physical environments.

MultimodalTransformers

Cosmos-Reason1 is a physical artificial intelligence model developed by NVIDIA. It has the ability to understand physical common sense and can generate embodied decisions through long-chain thinking reasoning. This model supports multimodal input (text + video/image) and outputs text, which is suitable for physical AI fields such as robotics and autonomous driving.

MultimodalTransformersEnglish

Cosmos-Reason1 is a physics AI model developed by NVIDIA, capable of understanding physical common sense and generating embodied decision-making natural language through long-chain reasoning.

MultimodalTransformersEnglish

Cosmos-Reason1 is a physical AI model developed by NVIDIA, capable of understanding physical common sense and generating embodied decisions through long-chain reasoning.

MultimodalTransformersEnglish

SpaceQwen2.5-VL-3B-Instruct is a multimodal vision-language model focused on spatial reasoning and embodied AI tasks.

MultimodalGgufEnglish

VC-1 is a Vision Transformer-based pretrained model specifically designed for embodied AI tasks such as object manipulation and indoor navigation.

Computer VisionPytorchEnglish